From our enterprise architects
Case studies, points of view, and implementation guides — grounded in real delivery across every solution pillar.
From legacy migration to real-time operational apps to autonomous AI agents — Systech delivers the full Databricks journey through three proven solution pillars.





Systech's "Modernize-then-Intelligize" approach takes you from legacy stack to autonomous AI agents — each pillar building on the last.
Automate the migration of legacy databases, SQL, ETL pipelines, and stored procedures to Databricks — with Unity Catalog governance built in from day one.
Build production-ready operational apps on Databricks Lakebase in weeks — not months. LakeBuild™ handles the architecture, code generation, and governance so your team ships faster and owns what gets built.
Deploy autonomous AI agents on Databricks that don't just answer questions — they execute workflows. AgentBuild™ uses Genie as the intelligence layer and Unity Catalog as the governance layer, so every agent is fast, trusted, and audit-ready.
Fixed-timeline engagements designed to de-risk your Databricks investment and deliver a production-ready asset — fast.
We handle the complexity of moving your legacy data stack to Databricks. You get a governed, production-ready Lakebase environment — and a clear roadmap for everything that comes next.
Pick one legacy application. In four weeks, it runs on Databricks Lakebase — sub-second, AI-ready, and governed. No cost. No risk. A working asset your team owns at the end.
Your teams will move from asking questions to taking action. One real business use case, taken from concept to a production-ready AI agent on Databricks — powered by your data, governed by Unity Catalog.
DBShift™ automates the conversion of legacy databases, SQL, ETL pipelines, and stored procedures to Databricks-native formats — with Unity Catalog governance applied from day one, not as an afterthought.
Legacy SQL, DDL, PL/pgSQL and ETL converted to Databricks-native formats — automatically documented and refactored.
Full lineage, access control, and governance applied at migration — not retrofitted after go-live.
A data-backed plan and quote for modernizing your full legacy operational estate to Databricks Lakebase.
Databricks Lakebase eliminates the boundary between your operational database and your analytics platform — your apps run directly on live transactional data, no ETL, no lag. Systech, as a Lakebase Launch Partner, built LakeBuild™ to make this transition fast and production-ready.
Replace analytical lag — Lakebase delivers transactional speed directly from your data store to your application layer.
LakeBuild™ accelerates every Lakebase app delivery — pre-built architecture patterns, tested code templates, and aiDE's multi-agent engine generate, document, and govern code automatically. What used to take months ships in weeks. SysMart was built on it.
Every LakeBuild™ deployment applies Unity Catalog governance at the data layer from day one — full lineage, access control, and policy enforcement across every app and table.
Pick one legacy application. LakeBuild™ migrates it to Databricks Lakebase in four weeks — sub-second, AI-ready, and governed by Unity Catalog from day one. Your team owns everything we build. At no cost.
Stop building dashboards. Start deploying agents. AgentBuild™ puts autonomous AI directly on your Databricks environment — Genie powers the intelligence, Unity Catalog enforces the governance, and your agents don't stop at answering questions. They execute the next step.
The conversational AI layer powering every AgentBuild™ deployment — natural language to governed, cited answers. Teams talk to their data and get instant visualizations from your Lakebase environment.
Design, deploy, and govern custom agents on Databricks — no-code to power user. AgentBuild™ orchestrates multi-step reasoning and execution, with every agent governed by the Policy Agent and Unity Catalog. Build once, run securely at scale.
Explore AgentBuild™ →"What-if" forecasting and automated ESG narratives — agents that pull from live governed data and generate board-ready outputs automatically.
Agents that don't just answer CFO questions — they pull KPIs, generate insight cards, and flag anomalies automatically. No dashboard pre-building, no SQL.
Agents that read incoming requests, trigger relevant actions, and automate ticket triage — not just surfacing insights, but executing the next step.
Identify one high-impact use case. AgentBuild™ takes it from concept to a production-ready autonomous agent on Databricks in five weeks — your data, your governance, your team enabled to scale it. At no cost.
Migration readiness scoring with actionable steps and a defined cutover plan.
Modern Lakehouse architecture scoped to your industry and data volumes.
Managed migration from legacy stack to Databricks — on time, on budget.
AI agents configured to your data semantics and business workflows — governed by Unity Catalog throughout.
Ongoing monitoring, optimization, and support for your Databricks environment.
Deploy a unified governed Lakehouse foundation in a fixed 4-week engagement.




Case studies, points of view, and implementation guides — grounded in real delivery across every solution pillar.
Manual migration was estimated at over a year. Using DBShift™, Systech delivered it in four weeks — with 90% accuracy and 80% reduction in time and cost.
Read the case studyWe've spent a decade moving data to the cloud. Now it's time to move the applications — and the cost of not doing so is hiding in plain sight.
Read the articleIn time-sensitive scenarios like fraud detection, every second matters. We built the bridge between insights and action.
Read the articleLet's map your legacy stack to a Lakebase roadmap and identify the right offer for your team — no cost, no obligation.
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